2.4× Engineering Velocity Without Inflating Burn
Facing a post-Series-B roadmap, a 10-month US hiring pipeline, and investor pressure to protect burn multiple, the firm built a dedicated 8-person remote product team covering frontend, backend, QA, DevOps, and product design — now shipping inside Linear + GitHub on a 2-week sprint cadence.
Available Candidates
Pre-vetted professionals ready to start
At a glance.
What wasn't working.
Post-Series-B, the firm had the roadmap but not the bench. US engineering hiring was running at a 10-month average time-to-productive, and the board had set a burn-multiple target that ruled out the obvious fix of simply hiring 12 more senior engineers.
Roadmap debt was compounding against the next round
Investor-visible shipping metrics were slipping. The firm had committed to 6 major feature releases in 12 months and was tracking at 2.5 on baseline velocity — a gap that was going to become the dominant narrative at the Series C.
US hiring couldn't keep pace with the board plan
A senior US engineer cost $180K–$240K fully loaded with a 10-month ramp to productive output. To meet the roadmap the firm needed 10–12 new engineers inside six months — structurally impossible at US-market compensation and time-to-hire.
Staff augmentation wasn't solving it either
Two previous agency engagements had delivered contractor-style throughput but no continuity, no ownership, and no documented code. Every feature shipped by an agency became maintenance debt for the in-house team, and net velocity went backward within a quarter.
We had the capital, the roadmap and the PMF. What we didn't have was 12 senior engineers we could onboard in six months at a sustainable burn. The math said offshore; the fear was quality. We needed to prove both could be true.
A pre-vetted Zedtreeo pod.
Zedtreeo deployed a dedicated 8-person remote product pod within 12 business days. Unlike an agency engagement, the pod was structured as a permanent embedded squad — feature-team-style ownership of two core product surfaces, operating inside the client's Linear + GitHub workflow with the client's staff engineer as technical lead.
Team Composition Deployed
A full-stack product engineering pod sized to absorb two product surfaces end-to-end — feature delivery, QA, and on-call — without creating maintenance debt for the in-house team.
Tools & AI Stack Deployed
The pod operates in the client's existing stack — React, Node.js, PostgreSQL, AWS, GitHub, Linear, Datadog, and Vercel — with code-review discipline, CI/CD ownership, runbook authoring, and Datadog alerting integrated into the shared on-call rotation from day one. internal controls aligned with the SOC 2 framework, signed IP assignment, and VPN-based repo access provisioned from day one.
How it rolled out.
Week 1 — Kickoff & Clearance
Requirements call, IP assignment attestation, GitHub + AWS access provisioning. Shortlisted pod interviewed by CTO & Staff Engineer in 48 hours.
Weeks 2–4 — Onboarding
5-day paid trial on live roadmap tickets. Codebase walk-through, CI/CD permission model, Linear project handover, first PR merged day 8.
Month 2 — Velocity Ramp
Full squad ownership of two product surfaces. Sprint velocity ramps from 28 to 64 story points. First feature release shipped on plan.
Months 3–6 — Series C Story
2.4× baseline velocity held. 68% cost-per-sprint-point reduction booked. Pod extended to cover a third product surface. Burn multiple improves 0.4x.
What changed.
Within one quarter, the engineering narrative for the Series C changed from 'roadmap slipping' to 'roadmap accelerating'. Velocity doubled, burn improved, and the in-house team's code ownership stayed intact.
Performance Before → After
Measured improvements across 90 days post-onboarding of the engagement.
Zedtreeo vs in-house hire.
12-Month Cost Breakdown
| Line Item | In-House (US) | Zedtreeo |
|---|---|---|
| Salary + Benefits | $1,740,000 | $620,000 |
| Recruitment | $96,000 | Included |
| HR & Compliance | $84,000 | Included |
| Tools | $38,000 | Included |
| Total Annual | $1,958,000 | $620,000 |
In their own words.
The Zedtreeo squad writes the way our senior engineers write — documented, tested, code-reviewed by us, deployed through our CI/CD. They're not contractors we're managing; they're a remote squad we're shipping with. We 2.4×'d velocity without inflating burn, and the Series C story changed in a quarter.
No dead weeks.
The real cost of a hire that does not work out is not the fee — it is the weeks of ramp, context and half-finished work that go with them. Most guarantees refund the money and hand you a new stranger. Three things happen here instead.
A free replacement, with no expiry
Month one or month thirty — if a specialist stops being right for the seat, we replace them at no cost. There is no 30-day or 90-day cutoff and no cap on how many times you can ask.
A fresh 5-day trial, every time
The replacement is not a stranger you are stuck with. You get five working days of real output to evaluate them, free — exactly the same trial you had on the first placement, on every replacement.
Five free days of handover
The outgoing specialist spends five days handing over to the incoming one, at no charge. Open items get documented and context transfers with the work, so you lose days rather than weeks.
This has been standing practice since we started — it is written down here because it was never written down anywhere. Read the full replacement policy
Roles deployed.
Every role included: AI-tool training, HR management, compliance, and replacement guarantee. Starting from $6/hour, fully timezone-matched globally.
Remote IT Staff & Engineers
Full-stack, frontend, backend, mobile, QA, DevOps specialists. From $800/month.
DevOps & Platform Engineers
AWS/GCP/Azure, CI/CD, IaC, observability, SRE-adjacent specialists.
Frontend & Mobile Developers
React, Vue, Flutter, React Native specialists for product surfaces.
Remote IT Support Teams: 24/7 Coverage, 71% Cost Cut
A US SaaS firm built 24/7 IT support coverage, cut first-response 82%, and reduced cost 71% with a remote Zedtreeo pod.
Remote Data Analysis: 3× Reporting Velocity
A PE-backed services firm 3× its reporting velocity with a dedicated remote analytics pod inside their existing BI stack.
Remote Cybersecurity Experts: 24/7 SOC Coverage
A FinTech firm built 24/7 SOC monitoring and cut incident MTTR 68% with a dedicated remote cyber team.
Build a Team Like Venture-Backed SaaS Company (name withheld — NDA)'s
Get 3 pre-vetted, AI-trained candidates in 48 hours. Starting from $6/hour. 5-day free trial. Save 70–85%.
More SaaS & Software Engineering Case Studies
Remote IT Support Teams: 24/7 Coverage, 71% Cost Cut
A US SaaS firm built 24/7 IT support coverage, cut first-response 82%, and reduced cost 71% with a remote Zedtreeo pod.
Remote Data Analysis: 3× Reporting Velocity
A PE-backed services firm 3× its reporting velocity with a dedicated remote analytics pod inside their existing BI stack.
Remote Cybersecurity Experts: 24/7 SOC Coverage
A FinTech firm built 24/7 SOC monitoring and cut incident MTTR 68% with a dedicated remote cyber team.